This P01 renewal application comes from an experienced research team that will investigate Barrett's esophagus (BE), the only established precursor to esophageal adenocarcinoma (EA), a highly lethal malignancy whose incidence increased more than 600 percent in three decades. BE is a unique in vivo model of human epithelial neoplasia, and the P01 theme of """"""""neoplastic progression in Barrett's esophagus: pathways and prevention"""""""" emphasizes the translational research goals of the P01 for 1) cancer risk prediction, 2) modifiable risk and protective factors for cancer prevention and 3) individualized interventions tailored to risk in BE and other neoplasms whose early stages are less amenable to investigation. The study design is a prospective investigation of the Seattle BE Cohort, one of the largest and best characterized in the world. All data will be derived from this cohort, maintained by Core B (Clinical Research). Project 1 (Clonal Evolution) will investigate epigenetic and genomic instability and clonal evolution in BE to evaluate selected LOH, copy number change, CpG island methylation and DNA content abnormalities to determine the extent to which they predict neoplastic progression. Project 1 will develop clinically compatible DNA biomarker platforms for validated markers. Project 2 (Epidemiology) hypothesizes that obesity and reflux combine to increase risk of EA through a network of mechanisms, including metabolic abnormalities associated with the insulin resistance syndrome, inflammation and oxidative stress. It seeks to identify effective prevention strategies and develop a predictive risk model of neoplastic progression in BE that can be used clinically. Project 3 (Genetic Instability) will examine some of the earliest processes contributing to neoplasia in BE and hypothesizes that chronic inflammation and genotoxic stress predispose to telomere shortening and genetic instability at chromosomal fragile sites. The P01 is highly collaborative and all projects and cores interact. Clonal evolutionary markers, epidemiology assessments, and measures of instability provided by Projects 1, 2 and 3, respectively, are shared resources to advance common goals. These interactions are facilitated by Core C (Biostatistics and Evolutionary Analysis), which provides input into all study design as well as a framework for analysis of the complicated datasets of the projects. Core A (Leadership) provides a vehicle for inter project and core communications.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Program Projects (P01)
Project #
5P01CA091955-10
Application #
8100334
Study Section
Special Emphasis Panel (ZCA1-RPRB-5 (S1))
Program Officer
Srivastava, Sudhir
Project Start
2002-08-16
Project End
2013-06-30
Budget Start
2011-07-01
Budget End
2013-06-30
Support Year
10
Fiscal Year
2011
Total Cost
$2,409,239
Indirect Cost
Name
Fred Hutchinson Cancer Research Center
Department
Type
DUNS #
078200995
City
Seattle
State
WA
Country
United States
Zip Code
98109
Barry, Peter; Vatsiou, Alexandra; Spiteri, Inmaculada et al. (2018) The Spatiotemporal Evolution of Lymph Node Spread in Early Breast Cancer. Clin Cancer Res 24:4763-4770
Dong, Jing; Levine, David M; Buas, Matthew F et al. (2018) Interactions Between Genetic Variants and Environmental Factors Affect Risk of Esophageal Adenocarcinoma and Barrett's Esophagus. Clin Gastroenterol Hepatol 16:1598-1606.e4
Xia, Li Charlie; Ai, Dongmei; Lee, Hojoon et al. (2018) SVEngine: an efficient and versatile simulator of genome structural variations with features of cancer clonal evolution. Gigascience 7:
Galipeau, Patricia C; Oman, Kenji M; Paulson, Thomas G et al. (2018) NSAID use and somatic exomic mutations in Barrett's esophagus. Genome Med 10:17
Martinez, Pierre; Mallo, Diego; Paulson, Thomas G et al. (2018) Evolution of Barrett's esophagus through space and time at single-crypt and whole-biopsy levels. Nat Commun 9:794
Dong, Jing; Buas, Matthew F; Gharahkhani, Puya et al. (2018) Determining Risk of Barrett's Esophagus and Esophageal Adenocarcinoma Based on Epidemiologic Factors and Genetic Variants. Gastroenterology 154:1273-1281.e3
Chowell, Diego; Napier, James; Gupta, Rohan et al. (2018) Modeling the Subclonal Evolution of Cancer Cell Populations. Cancer Res 78:830-839
Maley, Carlo C; Aktipis, Athena; Graham, Trevor A et al. (2017) Classifying the evolutionary and ecological features of neoplasms. Nat Rev Cancer 17:605-619
Cheng, Yichen; Dai, James Y; Paulson, Thomas G et al. (2017) Quantification of Multiple Tumor Clones Using Gene Array and Sequencing Data. Ann Appl Stat 11:967-991
Reid, Brian J (2017) Genomics, Endoscopy, and Control of Gastroesophageal Cancers: A Perspective. Cell Mol Gastroenterol Hepatol 3:359-366

Showing the most recent 10 out of 131 publications